Senior Data Engineer

JOB DESCRIPTION

About the Role/position
The ideal candidate is an experienced data pipeline builder and data wrangler, will act as technical data engineering expert in international team (multilocation). He/she will actively participate in optimizing data systems or building them from the ground up for our oversee customers.
Responsibilities:
The Data engineer will be responsible for:
Develop and maintain data pipelines using ETL processes.
Work closely with data science team to implement data analytics pipelines.
Maintain security and data privacy, working closely with data protection officer.
Implement scalable architectural models for data processing and storage.
Build functionality for data ingestion from multiple heterogeneous sources in batch & realtime mode.
Help in scoping, estimation, and planning to for various projects in the enterprise.
Provide technical support to project teams as needed.

JOB REQUIREMENT

Must have Technical Requirements / Qualifications
B.S. in Computer Science, related fields or commensurate work experience.
5+ years of relevant data engineering experience like Hadoop, Spark, Hive, HDFS, Pig… and ETL with large amounts of data.
Experience on complex regulatory data integration projects.
Solid knowledge and experience of data processing languages, such as SQL, Python, and/or Scala.
Hand on experience with real-time data stream platforms such as Kafka and Spark Streaming.
Experience on creating Slowly Changing Dimension type data tables in Hive using Spark framework.
Knowledge and experience on both relational databases (Oracle), NoSQL databases (e.g. MongoDB) and strong SQL querying skills, Performance Tuning are required.
Experience on Data Warehouse such as Teradata SQL, Informatica, Unix and Control-M.
Experience of data visualisation tools (e.g Tableau, Quantexa and SAS).
Knowledge of at least one cloud environment (Azure, GCP, AWS, IBM)
Agile based delivery knowledge
Excellent English communication – verbal, written, and presentation skills; adept at communicating and managing stakeholders at all levels.
Strong teambuilding skills and teamwork orientation.
Strong creative problem-solving skills.
Nice to have Technical Requirements / Qualifications
Knowledge or experience on Azure Modern Data Warehouse platform (e.g., Azure Data Lake, Synapse Analytics, Azure Data Factory, Azure Databricks, Databricks Delta Lake, etc).
AZ-900: Microsoft Azure Fundamentals.
Azure Data Engineer – Associate.

WHAT'S ON OFFER

Competitive salary, health insurance covered for employee and dependents
Working on international projects. Professional and dynamic working environment
Achieving valuable experience with variety projects, new technologies and hundreds of talents
Receiving training opportunities including many technical seminars and soft skill training courses
Good opportunity for promotion through regular performance review system
Hybrid work

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Outsource

Technical Skills:

Data Engineering, ETL/ELT

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

Negotiate

Job ID:

J01225

Status:

Close

Related Job:

PreSales Solutions Engineer

Ho Chi Minh - Singapore

Product

  • System
  • Google Cloud
  • Presale

PreSales Support: Collaborating with the Sales team to understand client needs and develop tailored solutions using Google Maps and Google Cloud services. This involves conducting technical presentations, product demonstrations, and creating proof of concepts (POCs) for prospective clients, as well as contributing to proposals and RFP responses with detailed technical information. Post-Sales Support: Leading the technical implementation of Google Maps and Google Cloud services, ensuring smooth deployment and integration. Providing ongoing technical support and troubleshooting for clients after implementation, working closely with cross-functional teams to ensure client satisfaction and build long-term relationships. Technical Expertise: Staying up-to-date with the latest Google Maps and Google Cloud technologies, serving as a subject matter expert (SME) for both internal teams and clients. Integrating new features and services into client solutions and providing guidance on best practices. Collaboration: Working closely with Sales, Product, Infrastructure, Data, and Engineering teams to align solutions with client needs and company goals. Mentoring junior team members and contributing to training initiatives.

Negotiation

View details

Partner Implementation Engineer (Security & Digital Trust)

Ha Noi - Viet Nam

Outsource

  • System

Đóng vai trò là người thực hiện triển khai chủ chốt, chịu trách nhiệm triển khai, cấu hình và tích hợp các giải pháp Security & Digital Trust (PKI, Chữ ký số, Mã hóa, MFA) vào hệ thống thực tế của khách hàng, đảm bảo hệ thống vận hành ổn định, bảo mật và đúng thiết kế. Triển khai hệ thống (Implementation) Chuẩn bị môi trường: kiểm tra hạ tầng (Server, Hệ điều hành, Cơ sở dữ liệu, Mạng) Cài đặt & cấu hình giải pháp: PKI / CA / Chữ ký số / MFA / Mã hóa Thiết lập chính sách bảo mật, quy trình nghiệp vụ Kết nối với thiết bị bảo mật (HSM, Quản lý Khóa) Triển khai trên nền tảng Cloud / Container (nếu có) Triển khai hệ thống trên Kubernetes / OpenShift Cấu hình tài nguyên (YAML: Pod, Dịch vụ, Ingress, Bản đồ Cấu hình, Bí mật) Thiết lập lưu trữ (Khối Lưu trữ Không gian); mạng nội bộ Áp dụng các chính sách bảo mật cho container Tích hợp hệ thống (Integration) Hỗ trợ tích hợp với: Trang web/ Ứng dụng/ Giao diện lập trình ứng dụng và IAM / SSO / AD / LDAP Hướng dẫn sử dụng API/SDK Kiểm tra luồng dữ liệu & bảo mật giao tiếp Phối hợp với nhóm khách hàng (Phát triển / Cơ sở hạ tầng / Bảo mật) Kiểm thử & nghiệm thu (QA/UAT) Thực hiện kiểm thử kỹ thuật & kịch bản vận hành Hỗ trợ UAT với khách hàng Kiểm tra tính đúng đắn của: Chữ ký số; Chứng thư và Luồng xác thực Vận hành & hỗ trợ Giám sát hệ thống, phân tích log, xử lý sự cố Hỗ trợ sau triển khai (L2/L3) Đảm bảo hệ thống hoạt động ổn định & HA Tài liệu & chuyển giao Xây dựng tài liệu triển khai (cấu trúc, cấu hình) Hướng dẫn vận hành cho khách hàng Đào tạo kỹ thuật cơ bản

Negotiation

View details

DevOps Engineer

Others - Viet Nam

Product

  • Devops
  • Kubernetes
  • Network

Managing and developing our Kubernetes platform across multiple clusters and environments including production, development, on-premises and public cloud. Designing and overseeing hybrid cloud infrastructure across on-premises and public clouds (such as GCP, AWS), including workload placement, cross-cloud networking, and unified resource management. Taking responsibility for the end-to-end CI/CD and GitOps process, including container build pipelines, image optimization, and progressive delivery using tools like ArgoCD/FluxCD. Taking charge of the observability stack to provide a comprehensive view across all clusters using tools like Grafana, Mimir, Tempo, Loki, Pyroscope, OnCall, Prometheus, and supporting agent-assisted SRE workflows. Managing and enhancing our inference platform, including vLLM serving and AIBrix for multi-model orchestration and autoscaling with a fleet of NVIDIA GPUs. Operating platform services such as Kafka, Redis, PostgreSQL, OpenSearch. Managing identity and access management with Keycloak integrated with Google Workspace, strengthening SSO, RBAC, and secrets management across the platform. Strengthening network security across private load balancers, firewalls, and VPC segmentation and designing and maintaining hub-and-spoke/multi-AZ topologies. Supporting training infrastructure with self-service VM provisioning, RunPod burst capacity, and Weights and Biases integration. Driving infrastructure reliability, cost efficiency, and capacity planning as the platform scales.

Negotiation

View details